GENERAL INTRODUCTION NICHE Biogeography, systematics, population biology and o th e r associated research areas become increasingly integrated into a cross-disciplinary fra m e w o rk fo r understanding th e distribu tio n o f life on Earth (Diniz-Filho e t al., 2008). Theories and m ethods are getting shared, and some o f these blends have yet been discussed (Richards e t al., 2007; Kozak e t al., 2008; Pearman e t al., 2008). A central concept underpinning this cross-disciplinary fra m e w o rk is th e 'species niche'. Despite its long standing history in ecological research, th e niche concept has revived in recent years (Soberon & Nakamura, 2009). M any definitions to explain th e te rm 'niche' have been suggested during th e last century. Joseph Grinnell was the firs t to propose a concept o f an ecological niche (Grinnell, 1917). The so-called Grinnellian niche can be defined by fu ndam entally non-interacting habitat variables and abiotic environm ental conditions on broad scales (so-called "scenopoetic" variables), relevant to understanding coarse-scale ecological and geographic properties o f species (Soberon, 2007). Later investigators focused niche concepts increasingly on the role o f a species in an ecological com m unity. This gave rise to th e Eltonian niche, which focuses on biotic interactions and resource-consum er dynamics essentially acting at local scales (so-called "bionom ie" variables) (Soberon, 2007). 2 For the purposes o f this dissertation the ideas established by Hutchinson (1957) serve adequately. In his now fam ous "concluding rem arks", Hutchinson defined tw o correlated aspects o f the niche which capture the relative pressures o f both biotic and abiotic environm ents on a species' range. The 'fundam ental niche' describes th e abiotic conditions in which a species is able to persist, whereas th e 'realized niche' describes th e conditions in which a species persists given the presence o f o th e r species as well as by spatial accessibility (Wiens & Graham, 2005) (Figure 1A). An interesting rephrasing o f Hutchinson's niche concept is to characterize it as th e m apping o f population dynamics o n to a m ultidim ensional abstract space, defined by environm ental axes th a t a ffe ct an organism 's fitness (Holt, 2009). This allows us to represent the niche as a m ultidim ensional, dynam ic space, w ith in which m ovem ent can occur along th e d iffe re n t axes. Selective pressure along th e niche axes can result in evolutionary responses to the environm ent. As such th e niche represents the interface betw een ecological and evolutionary processes acting to shape a species' geographical range (Powell, 2012). This concept serves as a com m on premise th ro u g h o u t this thesis. Abiotic niche Accessibility Biotic interaction Abiotic niche B Biotic interaction Accessibility Accessibility Biotic interaction Figure 1: A) Diagram illustrating the three interacting factors th a t determ ine a species' geographic distribution: the fundam ental (abiotic) niche, biotic interaction and accessibility; B) Fundamental niche shift; C) better exploitation of the fundamental niche after access into new areas. The gray shaded area represents the realized niche. (Rodder et al., 2009; after Soberon & Peterson, 2005) 3 NICHE m o d e lin g The d iffe re n tia tio n betw een fundam ental and realized niches provides a conceptual fram e w o rk in th e context o f ecological niche m odeling practices (Pulliam, 2000). Some niche models use direct measures o f species' physiological response to environm ental conditions, as such estim ating the fundam ental niche o f a species (see Kearney & Porter, 2009). This so-called m echanistic approach can a dditionally incorporate biotic interactions to predict a species' realized niche (Soberon & Peterson, 2005). However, th e m ost com m on way o f ecological niche m odeling (also referred to as species d istrib u tio n m odeling) establishes th e m acroecological preferences o f a given species based on observed d istrib u tio n records and a set o f macroecological variables (e.g. tem perature, precipitation, soil conditions, nutrients) th a t are likely to influence th e su itab ility o f the e nvironm ent fo r th a t species (Guisan & Zim m erm ann, 2000). These preferences can subsequently be used to predict geographical areas w ith suitable hab itat fo r the species. There exist a w hole range o f d iffe re n t algorithm s fo r such correlative m odeling approaches (see (Elith et al., 2006; Wisz e t al., 2008) fo r comparison). Results from ecological niche m odeling studies have provided insight into a variety o f questions relevant to ecology and evolutionary biology (Rissler & Apodaca, 2007). These include: th e im portance o f niche conservatism to spéciation (Kozak & Wiens, 2006); the geographic spread o f invasive species (e.g. Broennim ann e t al., 2007; Rodder & Lotters, 2009; see below ); d istributions o f undiscovered species (Raxworthy e t al., 2003); inferences o f historical and fu tu re d istributions (e.g. Yesson & Culham, 2006; Peterson e t al., 2002) and historical biogeography (Smith & Donoghue, 2010). En v ir o n m e n t a l d a t a Environm ental data is becoming m ore and m ore accessible (Kozak e t al., 2008). Such data include digital maps th a t q ua ntify spatial variation and tem poral variation in a series o f environm ental param eters (e.g. te m p era ture , n utrients and salinity). Environm ental data can be extracted as p oint data and subsequently used in com bination w ith phylogenetic inform a tion fo r evolutionary studies (see below) o r serve as gridded GIS maps fo r ecological niche m odeling applications. Global environm ental data fo r some predictor variables are easily accessible fo r te rre stria l clim ates via th e online data repositories W orldClim (h ttp ://w w w .w o rld c lim .o rg /) and CLIMOND (h ttp s ://w w w .c lim o n d .o rg /). Until recently, no com parable m arine co un terp art was available (Robinson e t al., 2011). However, chapter 1 in this thesis presents a m arine dataset th a t a tte m p ts to boost m arine ecological niche m odeling. 4 NICHE dynam ics N I C H E CONSERVATISM - N I C H E DIVERGENCE The evolution o f niche features among species can provide im p o rta n t insights into ecological d iffe re n tia tio n and species e volution (Ackerly e t al., 2006). A species' ecological niche changes, expands o r contracts over tim e in response to natural selection acting on variations in fitness due to m utations, genetic d rift and selection (Colwell & Rangel, 2009). Its corresponding geographical d istribu tio n can change dram atically or n ot change at all (Colwell & Rangel, 2009). For example, when clim atic conditions change, a species can respond by moving, adapting or going extinct (Holt, 1990). In this context, the stability o f the niche is o f fundam ental im portance: it influences th e need fo r species to track clim ate change via dispersal, o r its potential to adapt to novel conditions. This is th e principle o f tw o non-exclusive scenarios o f niche evolution. If species adapt, th e y consequently shift th e ir niche. However, another possibility to respond to environm ental change is by the colonization o f new habitats. This scenario has been supported by studies on several species (e.g. Losos e t al., 2003; Graham e t al., 2004). In th e opposed scenario, w here species fail to adapt to new ecological conditions, species keep th e ir niche characteristics (Wiens, 2004). This tendency to retain sim ilar niches over tim e is known as niche conservatism (Wiens e t al., 2010). N I C H E MODELING OF INVASIVE SPECIES Alien invasive species are a concern in nature conservation as th ey may have a negative im pact on native biodiversity. U nderstanding th e factors th a t make non-native species successful invaders is a crucial step to managing geographic spread (M edley, 2010). Invasive species may provide valuable insights fo r ecology and evolutionary biology (Sax e t al., 2007). Ecological niche m odels are cu rren tly th e m ost com m only used to o l fo r predicting th e geography o f species invasions (Thuiller e t al., 2005). However, when calculating niche models, it is assumed th a t the range o f th e ta rg et species is in equilibrium w ith environm ental param eters (Araujo & Pearson, 2005) and th a t th e niche o f the studied species is conservative across space and tim e (Wiens & Graham, 2005). Niche conservatism may determ ine w hich species can invade w hich regions and w here they w ill spread w ith in those regions (Peterson e t al., 2003; Wiens & Graham, 2005). If a species fundam ental niche is conserved, then this species w ill only be able to invade regions th a t have environm ental circumstances sim ilar to th a t o f its native range (Wiens & Graham, 2005). Under this assum ption, invasion ranges can be predicted w ith models fitte d w ith data from th e native range (Peterson & Vieglais, 2001). Some authors have however found a m ism atch betw een species native and invasive ranges in term s o f clim atic niches (Broennim ann e t al., 2007; Fitzpatrick e t al., 2007; Lauzeral et al., 2011). Such m ism atch could represent a sh ift e ither in the fundam ental (Figure IB ) or realized niches (Figure 1C). Since invasive species e nte r areas w here th ey w ere absent before, it is m ost likely th a t the 'n e w ' clim ate envelope represents a b e tte r exploitation o f the existing fundam ental niche (Rodder e t al., 2009). 5 N I C H E EVOLUTION MODELING Niches are described fo r single species in th e present tim e but many intriguing questions emerge when expanding this view to a com parative evolutionary fram e w o rk: How and how fast does the m ultidim ensional niche evolve? W hat are th e outcom es o f niche conservatism on the evolution o f th e species involved (Wiens & Graham, 2005) and w ha t are th e im plications o f niche shifts? Studies on niche dynamics disclose im plications fo r several central questions at th e intersection o f ecology and evolution, including species richness patterns (Buckley e t al., 2010), com m un ity structure (Ackerly, 2009), invasive species potential (Broennimann e ta l., 2007) and evolutionary responses to clim ate change (Evans e t al., 2009). Com parative studies of biological diversification rely on a phylogenetic fra m e w o rk fo r in te rp re ta tio n . Such fram ew ork, in com bination w ith inform a tion on species traits, contains the im p rin t o f historical evolutionary processes. These processes include correlated evolutionary change and trajectories o f tra it evolution, convergent and parallel evolution, d ifferen tia l rates o f evolution, spéciation and extinction, the ord er and direction o f change in characters, and the nature o f the evolutionary process itself (Pagei, 1997). Hence, identification o f changes in tr a it evolution rates along a phylogeny can reveal the mechanisms underlying the differences in th e tem poral, geographic and taxonom ic d istrib u tio n o f biological diversity over large spatial and te m p ora l scales (Thomas & Freckleton, 2012). N I C H E DYNAMICS AND DIVERSIFICATION Even though phylogenetic com parative m ethods have lead to measures o f diversification rates and how these vary across taxa (Ricklefs, 2007), th e re is still th e question w h e th e r niche dynamics influence e volutionary processes and diversity patterns. Such diversity patterns m ust be ultim ately dependent on mechanisms (spéciation, extinction and dispersal) th a t directly change th e num ber o f species. These mechanisms rely on intrinsic characteristics o f the species but also depend on the extrinsic characteristics like the enviro n m e nt and bio tic interactions. Hence, it is m ost likely th a t a species niche influences its chances o f undergoing spéciation and suffering extinction. Furtherm ore, it is perfectly conceivable th a t not the characteristics o f the niche on th e ir own b ut th e a bility to change niches could im pact diversification. This theorem has been confirm ed as rapid shifts in clim atic niches among tropical fauna cause higher diversification rates (M o ritz e t al., 2000; Kozak & Wiens, 2007). Species in which clim atic tolerances can evolve rapidly may be less susceptible to extinction from clim atic change (Holt, 1990). Such species may diversify m ore rapidly by spreading into m any d iffe re n t environm ents, th ereb y reducing com p etitio n and creating additional opp ortu nities fo r spéciation (M o ritz e t al., 2000; Kozak & Wiens, 2010). In contrast, niche conservatism and the inability o f populations to adapt to new environm ental conditions play a crucial role in geographical isolation (Wiens, 2004; Kozak & Wiens, 2006) and may prom ote allopatric spéciation. Niche breadth and evolvability o f the ecological niche are relevant in discussions on species versus organismic selection (Rabosky & Mccune, 2010). Although regarded as aggregate, rather than em ergent tra its, these features clearly influence rates o f spéciation and extinction. Studying niche dynamics in a com parative context is th e re fo re interesting. 6 SEAWEEDS Seaweeds appear to be good candidates fo r studying evolutionary dynamics o f the macroecological niches among coastal m arine organisms. Individual specimens are fixed in one location, yielding a d irect link to georeferenced macroecological data. Seaweeds occur in a w ide range o f coastal habitats and many genera have a w orld -w id e d istrib u tio n , resulting in sufficient va riab ility in m acroecological dim ensions and biogeographical patterns. In addition, seaweeds are straig htforw ard to collect and process, making them suitable targets fo r this kind o f research. The species and genera used in this thesis are carefully chosen because th ey m eet specific criteria. The th re e species-rich genera Halimeda, Codium and Dictyota are selected as m odel systems because th e y have been studied extensively by our research group during th e last decade (De Clerck, 2003; Verbruggen, 2005; Verbruggen e t al., 2007). Im p o rta n t is the availability o f sufficient georeferenced localities, a nearly com plete taxon sampling and tru s tw o rth y identifications. In addition, an elaborate knowledge about th e ir phylogeny, ecology, m orphology and anatom ical characteristics is available fo r these genera. 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Verbruggen, H., Leliaert, F., Maggs, C. A., Shimada, S., Schils, T., Provan, J., Booth, D., M urphy, S., De Clerck, O., Littler, D. S., Littler, M . M . & Coppejans, E. (2007) Species boundaries and phylogenetic relationships w ithin the green algal genus Codium (Bryopsidales) based on plastid DNA sequences. M olecular Phylogenetics and Evolution, 44, 2 4 0-254. Verlaque, M ., Afonso-Carrillo, J., Candelaria Gil-Rodríguez, M ., Durand, C., Boudouresque, C. F. & Le Parco, Y. (20 0 4 ) Blitzkrieg in a m arine invasion: Caulerpa racem osa var. cylindracea (Bryopsidales, Chlorophyta) reaches th e Canary Islands (north-east Atlantic). Biological Invasions, 6, 2 6 9 -2 8 1 . W iens, J. J. (2004) Spéciation and ecology revisited: Phylogenetic niche conservatism and th e origin o f species. Evolution, 58, 193-197. W iens, J. J., Ackerly, D. D., Allen, A. P., Anacker, B. L., Buckley, L. B., Cornell, H. V., Damschen, E. I., Davies, T. J., Grytnes, J. A., Harrison, S. P., Hawkins, B. A., Holt, R. D., Mccain, C. M . & Stephens, P. R. (2010) Niche conservatism as an emerging principle in ecology and conservation biology. Ecology Letters, 1 3 ,1 3 1 0 1324. W iens, J. J. & Graham , C. H. (2005) Niche conservatism: Integrating evolution, ecology, and conservation biology. Annual Review o f Ecology Evolution and Systematics, 36, 519-539. Wisz, M . S., Hijmans, R. J., Li, J., Peterson, A. T., Graham , C. H. & Guisan, A. (2008) Effects o f sample size on the perform ance o f species distribution models. Diversity and Distributions, 14, 7 6 3 -7 7 3 . Yesson, C. & Culham, A. (2006) Phyloclimatic modeling: combining phylogenetics and bioclimatic modeling. Systematic Biology, 55, 7 8 5-802. 10 OBJECTIVES AND THESIS OUTLINE In general, this thesis aims at characterizing macroecological niches and large-scale geographic diversity patterns o f seaweeds fro m an e volutionary p o in t o f view. Our goal is to explore how niches evolved, how niche dynamics can lead to diversification and how this results in observed d istribu tio n patterns. This research integrates phylogenetic and macroecological data in a GIS fram ew ork. We specifically aim to: • develop a global m arine environm ental data set fo r ecological niche m odeling • explore evolutionary dynamics o f macroecological niches • evaluate the relations betw een evolutionary niche dynamics and species diversification In chapter 1 we present a com pilation o f global m arine environm ental data. This data set aims to boost m arine d istribu tio n and niche m odeling applications by providing the firs t comprehensive standardized and u niform global m arine environm ental dataset, readily dow nloadable and usable fo r predictive studies. We dem onstrate global applicability through a case study o f the invasive green alga Codium fra g ile subsp. fra g ile , predicting its p otential spread. Chapter 2 aims at im proving the tran sfe ra bility o f m odeling introduced species. The presented fra m e w o rk is analyzed by forecasting th e spread o f a highly invasive seaweed: Caulerpa cylindracea. In chapter 3, we integrate ecological niche models, macroecological data and high quality phylogenetic inform a tion o f the green algal genus H alimeda to gain knowledge on macroecological niche dynamics, to get insights in the evolution o f environm ental preferences across a calibrated phylogenetic tree and to delineate areas fo r potential discoveries o f sister species. Chapter 4 aims at understanding the biogeography and niche evolution w ith in a Codium species complex distribu te d across w arm -te m pe ra te regions. Ecological niche models in com bination w ith a m olecular tim efra m e are used to elucidate the biogeographical pattern o f these closely related sister species. In chapter 5 we investigate the evolution o f th erm al niches through tim e in relation to species diversity patterns w ith in th e brow n algal genus D ictyota. 12 Notes to the reader: Chapters 1, 4 and 5 are presented as manuscripts w ith LT as first author; chapter 2 is a co-authored paper w ith HV; chapter 3 represents a shared first co-authorship w ith HV and KP. Specific contributions are mentioned at the end of each chapter. Gene sequences used to reconstruct genealogical relationships in the various chapters w ere generated by Sofie D'Hondt and Tine Verstraete of the phycology research group. All chapters have been printed, are submitted, or are in preparation to be submitted to SCI journals. Therefore some overlap in the content of the chapters does occur. 13